Smart grid cyber security: Challenges and solutions

Shapsough, Salsabeel; Qatan, Fatma; Aburukba, Raafat; Aloul, Fadi; Ali, Amjad

doi:10.1109/icsgce.2015.7454291

Cited by 68 publications

(24 citation statements)

References 16 publications

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“…Several devices that embed cryptographic applications execute their routines using symmetric or asymmetric keys. Each of these keys needs different resources, and in practice, both types of encryption are used [65]. In fact, the state-of-the-art presents a broad division in terms of symmetric and asymmetric keys for SG when the application is related to the SM itself.…”

Section: Cryptographic Solutions For the Sgmentioning

confidence: 99%

Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks

Milanezi

Costa

Garcez

et al. 2020

Sensors

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Due to the drastic increase of electricity prosumers, i.e., energy consumers that are also producers, smart grids have become a key solution for electricity infrastructure. In smart grids, one of the most crucial requirements is the privacy of the final users. The vast majority of the literature addresses the privacy issue by providing ways of hiding user's electricity consumption. However, open issues in the literature related to the privacy of the electricity producers still remain. In this paper, we propose a framework that preserves the secrecy of prosumers' identities and provides protection against the traffic analysis attack in a competitive market for energy trade in a Neighborhood Area Network (NAN). In addition, the amount of bidders and of successful bids are hidden from malicious attackers by our framework. Due to the need for small data throughput for the bidders, the communication links of our framework are based on a proprietary communication system. Still, in terms of data security, we adopt the Advanced Encryption Standard (AES) 128 bit with Exclusive-OR (XOR) keys due to their reduced computational complexity, allowing fast processing. Our framework outperforms the state-of-the-art solutions in terms of privacy protection and trading flexibility in a prosumer-to-prosumer design.2 of 25 consists of obfuscating the instantaneous consumption pattern of each consumer [5,6]. This is generally accomplished by hiding the instantaneous power consumption of the client as fine-grained data can reveal in detail the lifestyle of the consumer [7,8]. However, the profile of traded energy also delivers relevant information about prosumers to their neighbors. As in [9], the ability to link the bids to individual consumers allows the untrusted entity to build up a profile of the consumer's behavior. In particular, the quantities of traded energy can be very informative about the economical welfare of the owner [10]. Privacy requirements dictate that prosumers cannot gain information regarding other prosumers' consumption and production-not even if they are trade partners [11]. Models dealing with energy trade directly among prosumers [3,12] limit themselves to exploiting the trade environment without discussing in detail data-security aspects related to the identities of the traders in relation to their neighbors. As a consequence, several topics related to privacy requirements are still open in SGs, such as power production and bidding in trading systems.In this paper, we consider the problem of providing data privacy for self-interested players that trade energy in the context of a Neighborhood Area Network (NAN). The energy is sold by local micro-generators and locally purchased by their neighbors, also known as the final users. Our framework deals simultaneously with SG data-security requirements and energy-trade systems. As a first contribution, the proposed framework has a privacy-preserving model which has a low computational complexity and avoids completely an unauthorized party to identify the bidders, ...

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Section: Cryptographic Solutions For the Sgmentioning

confidence: 99%

Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks

Milanezi

Costa

Garcez

et al. 2020

Sensors

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“…The design was filled in 1 clock cycle and 128 bit AES was completed in 10 clock cycles. S. Shapsough et al [16] discussed that cyber security in the smart grid network is serious concern. They suggested low power Wireless Personal Area Networks (6LoWPAN) to address the various entities in IP-based communication system and security protocols of smart grid.…”

Section: Related Workmentioning

confidence: 99%

Smart Grid Security with Cryptographic Chip Integration

Kumar¹,

Vishnoi²,

Shimi³

2019

EAI Endorsed Transactions on Energy Web

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Smart grid is the modern digital electricity delivery system based on duplex communication between electrical grid and consumers. The smart grid includes several operations and energy measures comprising renewable energy sources, smart meters, smart devices, and energy efficient resources. The presence of all smart and efficient components on the smart grid involves the Information and Communication Technology (ICT) layer in order to meet the requirements of grid monitoring, control and information interchange for smooth operation of grid. The duplex communication flows conveys cyber security concerns to the smart grid. It is required to countermeasures different cyber security algorithms to the heterogeneous smart grid based on computational resources availability, confidentiality and integrity. The paper proposed the cryptographic based encryption and decryption approach could be employed in smart grid distribution system hardware. A new TACIT algorithm hardware chip is proposed for secured grid communication. The chip design is carried in Xilinx ISE 14.2 software and verified on SPARTAN-3E FPGA hardware. The functional simulation is also done for 64 bit and 128-bit key size on Modelsim 10.0 software. The hardware parameters, memory and timing parameters are extracted directly form Xilinx Software and compared with the existing security protocols. The projected research work will be the advantage for the power industries working on the concerns about the integration of smart grid security concerns with FPGA based systems.

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“…Shapsough et al [5] presenting some security challenges in the smart grid system and possible solutions, recommends a new security conceptual model based on the Internet of Things paradigm. Development of standards, conceptual models is crucial to increase a secure design of a micro smart grid.…”

Section: Introductionmentioning

confidence: 99%

Micro Smart Micro-grid and Its Cyber Security Aspects in a Port Infrastructure

Canepa¹,

Frugone²,

Bozzo³

et al. 2020

AJIST

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Maritime ports are intensive energy areas with a plenty of electrical systems that require an average power of many tens of megawatts (MW). Competitiveness, profits, reduction of pollution, reliability of operations, carbon emission trading are important energy related considerations for any port authority. Current technology allows the deployment of a local micro-grid of the size of tenths of MW, capable of islanded operation in case of emergency and to grant an increasing energy independency. Ownership of the grid permits a large flexibility on prices of energy sold inside the port, trading on local electric market and reduction of pollution. Renewable energy generation has a large impact on costs since features a low marginal cost. Unfortunately the smart grid is a critical asset within the port infrastructure and its intelligence is a high-level target for cyberattacks. Such attacks are often based on malicious software (malware), which makes use of a controlling entity on the network to coordinate and propagate. In this document, we will outline some features of a port smart grid and typical characteristics of cyber-attacks including potential ways to recognize it and suggestion for effective countermeasures.

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Smart grid cyber security: Challenges and solutions

Cited by 68 publications

References 16 publications

Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks

Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks

Smart Grid Security with Cryptographic Chip Integration

Micro Smart Micro-grid and Its Cyber Security Aspects in a Port Infrastructure

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